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NCT07129005
Radiomics-Based Non-Invasive MRI Differentiation of Uterine Sarcomas and Fibroids
trial testing No intervention (observational study) in Uterine Fibroid in 520 participants. Enrolling by invitation.
30 July 2025
Quick facts
| Lead sponsor | Tongji Hospital |
|---|---|
| Status | ENROLLING BY INVITATION |
| Study type | OBSERVATIONAL |
| Enrollment | 520 |
| Start date | 1 January 2025 |
| Primary completion | 30 July 2025 |
| Estimated completion | 30 December 2025 |
| Sites | 1 location across China |
Drugs / interventions tested
- No intervention (observational study) — full drug profile →
Conditions studied
- Uterine Fibroid — all drugs for Uterine Fibroid →
- Uterine Sarcoma — all drugs for Uterine Sarcoma →
- Diagnose Disease — all drugs for Diagnose Disease →
- AI (Artificial Intelligence) — all drugs for AI (Artificial Intelligence) →
Sponsor
Tongji Hospital
Who can join
18 and older, female only, with Uterine Fibroid or Uterine Sarcoma. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This retrospective case-control study aims to develop and validate a diagnostic model based on multimodal big data and artificial intelligence to differentiate uterine leiomyoma from uterine sarcoma. Investigators will extract historical case data from existing inpatient and outpatient records, including medical history, physical and gynecological examination findings, MRI imaging data, laboratory results, and pathological records. The study seeks to address the question of whether integrating diverse retrospective clinical data with advanced AI techniques can accurately classify uterine tumors as benign leiomyomas or malignant sarcomas, thereby supporting clinical decision-making and optimizing diagnostic workflows.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07129005
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07129005 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Tongji Hospital
- Last refreshed: 19 August 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07129005.
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